… To evaluate the effectiveness of the proposed approach for rotating machinery fault diagnosis,
two typical rotating machinery, bearings and gearboxes, are investigated in this paper. …

… As a breakthrough in fault diagnosis, deep learning holds the potential to automatically …
and fault diagnosis of rotating machinery. Gearbox and bearing fault diagnosis experiments are …

… Considering those above-mentioned problems, this paper presents a novel rotating
machinery fault diagnosis method based on LGDNN (Local-Global Deep Neural Network). The …

… for fault diagnosis and health management of rotating machinery. Classic fault diagnosis …
In this paper, a new approach is proposed for rotating machinery fault diagnosis with feature …

… This paper proposes a deep learning-based domain generalization method for rotating
machinery fault diagnosis. In order to expand the training dataset, a domain augmentation …

… diagnosis. Condition-based maintenance … fault diagnosis of rotating machinery. Resonance
demodulation technology is the one fault diagnosis technology widely used in the machinery …

… In this paper, a time–frequency analysis method based ELMD and FK is proposed for rotating
machinery fault diagnosis. LMD is an adaptive time–frequency signal processing method. …

… In this section, a new intelligent fault diagnosis method is proposed based on the GNSF
algorithm for rotating machinery and the performance of the proposed method is discussed. The …

… an alternative for rotating machinery condition monitoring and fault diagnosis. In addition, it
is … , this approach has a great foreground for fault diagnosis of rotating machinery in practice. …

… This section focuses on the IRT-based fault diagnosis of rotating machinery and the state-of-…
for fault diagnosis of rotating machinery. CNN has two main advantages in the fault feature …